vllm/requirements/test.in

# testing
pytest
tensorizer==2.10.1
pytest-forked
pytest-asyncio
pytest-rerunfailures
pytest-shard
pytest-timeout
pytest-cov

# testing utils
backoff # required for phi4mm test
blobfile # required for kimi-vl test
einops # required for MPT, qwen-vl
httpx
librosa # required for audio tests
vector_quantize_pytorch # required for minicpmo_26 test
vocos # required for minicpmo_26 test
peft>=0.15.0 # required for phi-4-mm test
pqdm
ray[cgraph,default]>=2.48.0 # Ray Compiled Graph, required by pipeline parallelism tests
sentence-transformers # required for embedding tests
soundfile # required for audio tests
jiwer # required for audio tests
tblib # for pickling test exceptions
timm >=1.0.17 # required for internvl and gemma3n-mm test
torch==2.9.0
torchaudio==2.9.0
torchvision==0.24.0
transformers_stream_generator # required for qwen-vl test
matplotlib # required for qwen-vl test
mistral_common[image,audio] >= 1.8.5 # required for voxtral test
num2words # required for smolvlm test
open_clip_torch==2.32.0 # Required for nemotron_vl test
opencv-python-headless >= 4.11.0 # required for video test
datamodel_code_generator # required for minicpm3 test
# TODO: Use lm-eval[api]==0.4.10 once released
lm-eval[api] @ git+https://github.com/EleutherAI/lm-evaluation-harness.git@206b7722158f58c35b7ffcd53b035fdbdda5126d # required for model evaluation test
mteb[bm25s]>=2, <3 # required for mteb test
transformers==4.57.3
tokenizers==0.22.0
schemathesis>=3.39.15 # Required for openai schema test.
# quantization
bitsandbytes==0.46.1
buildkite-test-collector==0.1.9


genai_perf==0.0.8
tritonclient==2.51.0

arctic-inference == 0.1.1 # Required for suffix decoding test
numba == 0.61.2 # Required for N-gram speculative decoding
numpy
runai-model-streamer[s3,gcs]==0.15.0
fastsafetensors>=0.1.10
pydantic>=2.12 # 2.11 leads to error on python 3.13
decord==0.6.0
terratorch @ git+https://github.com/IBM/terratorch.git@1.1.rc3 # required for PrithviMAE test
gpt-oss >= 0.0.7; python_version > '3.11'